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Designing and Evaluating Hand-to-Hand Gestures with Dual Commodity Wrist-Worn Devices

(IMWUT’20) Yiqin Lu, Bingjian Huang, Chun Yu, Guanhong Liu, Yuanchun Shi
We explore hand-to-hand gestures, a group of gestures that are performed by touching one hand with the other hand. Hand-to- hand gestures are easy to perform and provide haptic feedback on both hands. Moreover, hand-to-hand gestures generate simultaneous vibration on two hands that can be sensed by dual off-the-shelf wrist-worn devices. Our results show that the recognition accuracy for fourteen gestures is 94.6% when the user is stationary, and the accuracy for five gestures is 98.4% or 96.3% when the user is walking or running, respectively. This is significantly more accurate than a single device worn on either wrist.
[Presentation][Paper]